JSM2026
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Professional Development Course/CE

Deep Learning Methods in Advanced Statistical Problems

Tue, Aug 4, 8:30 AM - 5:00 PM Room CC-151A Thomas M. Menino Convention & Exhibition Center

About this session

This short course is designed for researchers in statistics and data analysis who are eager to explore the latest trends in deep learning and apply these methods to solve complex statistical problems. The course focus on cutting-edge topics in the deep learning community, including transformers, diffusion models, reinforcement leanring and large language models. In this one-day short course participants will gain hands-on experience in exploring and applying deep learning methodologies to tackle various statistical challenges. Basic knowledge of Python programming will be helpful but not necessary.

3 Instructors

Purdue University
University of North Carolina at Chapel Hill